{"title":"基于多目标优化方法的自然灾害疏散规划:孟加拉国罗兴亚难民危机","authors":"Md. Ridwanur Rahman, Samia Zakir Sarothi, Tanvir Mustafy","doi":"10.11159/iccste20.331","DOIUrl":null,"url":null,"abstract":"Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.","PeriodicalId":307663,"journal":{"name":"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evacuation Planning In Natural Disaster Using Multi Objective\\nOptimization Approach: The Rohingya Refugee Crisis in Bangladesh\",\"authors\":\"Md. Ridwanur Rahman, Samia Zakir Sarothi, Tanvir Mustafy\",\"doi\":\"10.11159/iccste20.331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.\",\"PeriodicalId\":307663,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11159/iccste20.331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/iccste20.331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evacuation Planning In Natural Disaster Using Multi Objective
Optimization Approach: The Rohingya Refugee Crisis in Bangladesh
Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.